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Section 5.4 Row Space and Column Space of a Matrix

Row, Column and Null Spaces.

Let \(A\) be a \(m\times n\) matrix, and partition \(A = \left[\begin{array}{c} \alpha_{1}\\ \alpha_{2}\\ \vdots\\ \alpha_{m} \end{array}\right]=[\beta_{1}\ \beta_{2}\ \ldots \ \beta_{n}]\text{.}\)
  • The row space of the matrix \(A\) is the set \(\{x_{1}\alpha_{1}+x_{2}\alpha_{2}+\ldots+x_{m}\alpha_{m}|x_{i}\in \mathbb{R}\}\text{,}\) denoted by \(\operatorname{Row}(A)\)
  • The Column space of the matrix \(A\) is the set \(\{x_{1}\beta_{1}+x_{2}\beta_{2}+\ldots+x_{n}\beta_{n}|x_{i}\in \mathbb{R}\}\text{,}\) denoted by \(\operatorname{Col}(A)\)
  • The Null space of the matrix \(A\) is the set \(\{\mathbf{x}|A\mathbf{x}=\mathbf{0}\}\text{,}\) denoted by \(\operatorname{Nullspace}(A)\text{.}\)
We will make the following discoverys in this section.

Activity 5.4.1. The dimensions.

In this activity, find the dimensions of row, column and null spaces of the matrix \(A\) below.
Discussion: Answer the questions below.
  1. The dimension of the row space is \(\underline{\qquad\qquad}\text{,}\) which equals to the number of nonzero rows of the reduced echelon form of the matrix \(A\text{,}\) and which equals to the number of pivot column of the matrix \(A\text{.}\)
  2. The dimension of the column space is \(\underline{\qquad\qquad}\text{,}\) which equals to the number of pivot column of the matrix \(A\text{,}\) and which equals to the number of nonzero rows of the reduced echelon form of the matrix \(A\text{.}\)
  3. The dimension of the null space is \(\underline{\qquad\qquad}\text{,}\) which equals to the number of free variables of the linear system \(A\mathbf{x}=\mathbf{0}\text{.}\)

Definition 5.4.2.

The rank of a matrix \(A\text{,}\) denoted by \(\operatorname{rank}(A)\text{,}\) is defined as the dimension of the row space.
The nullity of a matrix \(A\text{,}\) denoted by \(\operatorname{nullity}(A)\text{,}\) is defined as the dimension of the null space.